34 citations · 40 across the 6 of their papers we have counts for
6 papers
PV Fleet Modeling via Smooth Periodic Gaussian Copula
Mehmet G. Ogut, Bennet Meyers, Stephen P. Boyd
We present a method for jointly modeling power generation from a fleet of photovoltaic (PV) systems. We propose a white-box method that finds a function that invertibly maps vector…
Estimation of Soiling Losses in Unlabeled PV Data
Bennet Meyers
We provide a methodology for estimating the losses due to soiling for photovoltaic (PV) systems. We focus this work on estimating the losses from historical power production data t…
Estimation of Shade Losses in Unlabeled PV Data
Bennet Meyers, David Jose Florez Rodriguez
We provide a methodology for estimating the losses due to shade in power generation data sets produced by real-world photovoltaic (PV) systems. We focus this work on estimating sha…
Signal Decomposition Using Masked Proximal Operators
Bennet E. Meyers, Stephen P. Boyd
We consider the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse. We…
Statistical Clear Sky Fitting Algorithm
Bennet Meyers, Michaelangelo Tabone, Emre Can Kara
We present an algorithm that estimates a clear sky performance signal from the measured power of a PV system. The algorithm uses only observed power output, and assumes no knowledg…
Signal Processing on PV Time-Series Data: Robust Degradation Analysis without Physical Models
Bennet Meyers, Michael Deceglie, Chris Deline +1
A novel unsupervised machine learning approach for analyzing time-series data is applied to the topic of photovoltaic (PV) system degradation rate estimation, sometimes referred to…